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Remote Ecological Modeling Jobs in California (NOW HIRING)

Remote Ecological Modeling information

How does a Remote Ecological Modeler typically collaborate with other scientists and stakeholders on projects?

Remote Ecological Modelers often work as part of interdisciplinary teams that may include ecologists, GIS specialists, data analysts, and policy makers. Collaboration is primarily conducted through virtual meetings, shared data platforms, and collaborative software tools. Modelers are responsible for translating scientific data into actionable models, sharing results, and integrating feedback from team members. Effective communication and documentation skills are essential, as their work directly informs conservation strategies and environmental decision-making.

What is the difference between Remote Ecological Modeling vs Remote Environmental Data Analyst?

AspectRemote Ecological ModelingRemote Environmental Data Analyst
Required CredentialsDegree in Ecology, Environmental Science, or related field; GIS and modeling certificationsDegree in Environmental Science, Data Analysis, or related; statistical and GIS skills
Work EnvironmentResearch-focused, often involving ecological data and modeling softwareData-driven, analyzing environmental datasets for insights and reporting
Employer & Industry UsageResearch institutions, environmental consultancies, government agenciesEnvironmental firms, NGOs, government agencies, consulting companies
Common Search & Comparison IntentUnderstanding roles involving ecological data modelingComparing data analysis roles in environmental sectors

Remote Ecological Modeling focuses on creating models to predict ecological patterns using specialized software, while Remote Environmental Data Analysts interpret environmental data to inform decisions. Both roles require environmental or data analysis credentials but differ in their core tasks and focus areas.

What is remote ecological modeling?

Remote ecological modeling is the use of computational and mathematical models to study and predict ecological processes and patterns, often using data collected remotely, such as from satellites or drones. Professionals in this field analyze spatial and temporal data to understand ecosystems, species distributions, and environmental changes. They work remotely, utilizing software and large datasets to inform conservation efforts, policy decisions, and scientific research. This role typically requires expertise in ecology, statistics, and computer science.

What are the key skills and qualifications needed to thrive as a Remote Ecological Modeler, and why are they important?

To thrive as a Remote Ecological Modeler, you need a strong background in ecology, mathematics, and statistics, typically with a degree in environmental science, ecology, or a related field. Expertise with modeling software (such as R, Python, or GIS platforms), remote sensing tools, and sometimes certifications in data analysis or GIS are commonly required. Analytical thinking, problem-solving, and effective communication skills are crucial for interpreting complex data and collaborating with diverse teams. These skills enable accurate ecological predictions, support informed decision-making, and drive effective conservation or resource management strategies.
What are popular job titles related to Remote Ecological Modeling jobs in California? For Remote Ecological Modeling jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Ecological Modeling jobs in California look for? The top searched job categories for Remote Ecological Modeling jobs in California are:
What cities in California are hiring for Remote Ecological Modeling jobs? Cities in California with the most Remote Ecological Modeling job openings:

Science and Conservation Associate

Laguna Ocean Foundation

Laguna Beach, CA • Remote

Part-time

Posted 9 days ago


Job description

Science and Conservation Associate

Location: Laguna Beach, California
Organization: Laguna Ocean Foundation (LOF)
Status: Part-time (Contingent upon funding)

About Laguna Ocean Foundation

The Laguna Ocean Foundation (LOF) is a nonprofit dedicated to protecting and restoring Laguna Beach’s coastal ecosystems through science, education, conservation, and community engagement. Working with universities, government agencies, and community partners, LOF is advancing innovative coastal monitoring by integrating field ecology with drones, GIS, machine learning, environmental DNA (eDNA), and citizen science.

Position Summary

LOF seeks a motivated Science and Conservation Associate to support the technical foundation of its research and conservation programs. This position transforms field observations into high-quality geospatial data that inform ecological monitoring, restoration, conservation planning, and public education across Laguna Beach’s Marine Protected Areas.

The Associate will manage geospatial workflows—from drone and underwater ROV surveys through machine-learning analysis, GIS integration, habitat mapping, and scientific visualization. Working closely with LOF biologists, university researchers, GIS specialists, and interns, the Associate will help build one of California’s most comprehensive long-term coastal spatial datasets while supporting scientific publications, grant-funded research, StoryMaps, and emerging conservation technologies.

Position contingent upon funding.

Primary Responsibilities

Remote Sensing & Field Operations

● Conduct drone surveys under FAA Part 107 regulations.

● Operate underwater ROVs to document marine habitats.

● Coordinate field logistics, equipment, permits, and data collection.

GIS & Spatial Analysis

● Process drone imagery into ortho-mosaics and elevation models.

● Maintain GIS databases and produce habitat, species, and change-detection maps.

● Integrate remote sensing with biological field data.

Artificial Intelligence & Data Science

● Develop and apply machine-learning models for habitat and species classification.

● Improve classification workflows and support Python-based geospatial automation.

Research & Communication

● Collaborate with scientists and partner institutions on applied conservation research.

● Assist with scientific publications, technical reports, grant proposals, and conference presentations.

● Develop Story-Maps, dashboards, and visual products that communicate science to diverse audiences.

Training & Program Support

● Mentor interns and volunteers in GIS, drone operations, and data collection.

● Help establish standardized monitoring and data management protocols.

Required Qualifications

● Bachelor’s degree in GIS, Geography, Environmental Science, Marine Science, Engineering, Computer Science, Data Science, Ecology, or related field (or equivalent experience).

● At least one year of experience in remote sensing, GIS, spatial analysis, or environmental monitoring.

● Proficiency with ArcGIS Pro and/or QGIS.

● Experience with Python for geospatial analysis or machine learning.

● Experience processing drone imagery using photogrammetry.

● Familiarity with image classification or computer vision workflows.

● Knowledge of geospatial data management and reproducible workflows.

● FAA Part 107 certification (or ability to obtain).

● Excellent organizational, communication, and technical writing skills.

Preferred Qualifications

● Experience in coastal or marine ecosystems.

● Underwater ROV experience.

● Familiarity with eDNA, ecological monitoring, or conservation research.

● Experience working with universities, government agencies, or nonprofits.

● Grant writing or peer-reviewed publication experience.

● Experience with ArcGIS Online, StoryMaps, Dashboards, or web GIS.

● Knowledge of TensorFlow, PyTorch, Detectron2, or similar frameworks.

● Experience with cloud-based geospatial workflows.

Please send your resume and cover letter to: Please send in your material by July 31 to info@lagunaoceanfoundation.org

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